library(tidyverse)
library(writexl) #for writing objects to tabs in single Excel
package 㤼㸱writexl㤼㸲 was built under R version 4.0.2
library(openxlsx)
library(mosaic)
package 㤼㸱mosaic㤼㸲 was built under R version 4.0.2package 㤼㸱ggformula㤼㸲 was built under R version 4.0.2package 㤼㸱ggstance㤼㸲 was built under R version 4.0.2package 㤼㸱mosaicData㤼㸲 was built under R version 4.0.2
library(psych)
package 㤼㸱psych㤼㸲 was built under R version 4.0.2
library(extrafont)
nepad_group <- read_csv('.//data/nepad_groups.csv') %>%
mutate(afr_union_other = ifelse(afr_union == 'African Union', 'African Union', 'Other'))
Parsed with column specification:
cols(
Country = [31mcol_character()[39m,
Country_2 = [31mcol_character()[39m,
sub_group = [31mcol_character()[39m,
afr_union = [31mcol_character()[39m
)
afdb_cols <- c('African Union' = "#d95f02", 'Other' = 'lightgray')
Data exploration
df_dalys <- readxl::read_xlsx('.//data/DALYs.xlsx') %>%
gather(year, val, 6:41) %>%
mutate(year = as.numeric(year))

cds <- c('OthCommumDis', 'Diabetes', 'AIDS', 'Diarrhea', 'Malaria', 'RespInfec')
ncds <- c('MaligNeoPl', 'CardioVasc', 'Digestive', 'Respiratory', 'OtherNonComm', 'MentalHealth')
inj <- c('TrafficAcc', 'UnIntInj', 'IntInj')
df_dalys <- df_dalys %>%
mutate(dis_cat = ifelse(dimension %in% cds, 'CDs',
ifelse(dimension %in% ncds, 'NCDs',
ifelse(dimension %in% inj, 'Injuries', 'Other'))))

Relative risk of premature death: CDs and NCDs
prob_mort_cat <- readxl::read_xlsx('.//data/prob_mort_cat.xlsx') %>%
gather(year, death_prob, 5:90) %>%
mutate(year = as.numeric(year)) %>%
#these countries/territories do not have data
filter(country != 'Hong Kong' & country != 'Kosovo') %>%
left_join(x=.,
y=nepad_group,
by=c('country' = 'Country_2')) %>%
#from IFs, the scale is chances (probability) per thousand of death,
#so converting it to a more understandable probability scale (0-1)
mutate(death_prob = death_prob / 1000) %>%
spread(death_cat, death_prob)


Clustering
df_mort <- readxl::read_xlsx(path = './/data/mortality_by_type.xlsx') %>%
left_join(x=.,
y=nepad_group,
by='Country')
df_mort_standard_afr$z <- ave(df_mort_standard_afr$death_rate, df_mort_standard_afr$age_cohort, FUN=scale)
#library(NbClust)
#(nbclust_eval <- NbClust(df_mort_standard_afr %>% select(-c(1:5)),
#diss = diss_matrix,
#distance = NULL,
#min.nc = 3,
#max.nc = 10,
#method = "kmeans",
#index = "all"))
kmeans_mort
K-means clustering with 5 clusters of sizes 2, 22, 10, 13, 7
Cluster means:
p1_1_Cardiac p1_1_Diabetes p1_1_Diarrhea p1_1_Digestive
1 -0.3918629 -0.4128533 1.3511926 -0.3985526
p1_1_HIV p1_1_Intentional Injuries p1_1_Malaria
1 -0.09137626 -0.3970479 -0.41395918
p1_1_Malignant Neoplasms p1_1_Mental Health
1 -0.4069980 -0.4049835
p1_1_Other CD p1_1_Other NCD
1 3.261659 0.01534216
p1_1_Other Unintentional Injuries p1_1_Respiratory
1 -0.2972716 -0.4140234
p1_1_Respiratory Infection p1_1_Road Injuries
1 0.8400698 -0.3684028
p1_2_Cardiac p1_2_Diabetes p1_2_Diarrhea p1_2_Digestive
1 -0.3973336 -0.4131970 1.06486611 -0.4041806
p1_2_HIV p1_2_Intentional Injuries p1_2_Malaria
1 -0.07878254 -0.4009819 -0.4139592
p1_2_Malignant Neoplasms p1_2_Mental Health
1 -0.4085642 -0.4084230
p1_2_Other CD p1_2_Other NCD
1 2.5200289 -0.09132581
p1_2_Other Unintentional Injuries p1_2_Respiratory
1 -0.3348044 -0.4140234
p1_2_Respiratory Infection p1_2_Road Injuries
1 0.7097509 -0.3920589
p10_1_Cardiac p10_1_Diabetes p10_1_Diarrhea
1 0.7541940 0.1201731 0.015811810
p10_1_Digestive p10_1_HIV p10_1_Intentional Injuries
1 -0.1834411 13.3665335 0.8096587
p10_1_Malaria p10_1_Malignant Neoplasms
1 -0.4612515 0.23495511
p10_1_Mental Health p10_1_Other CD p10_1_Other NCD
1 -0.006130077 2.7921534 0.351260207
p10_1_Other Unintentional Injuries p10_1_Respiratory
1 0.12801315 -0.1377339
p10_1_Respiratory Infection p10_1_Road Injuries
1 0.319462925 0.54877033
p10_2_Cardiac p10_2_Diabetes p10_2_Diarrhea
1 0.08353871 -0.1278638 -0.2194761
p10_2_Digestive p10_2_HIV p10_2_Intentional Injuries
1 -0.3715445 10.6862196 -0.1506272
p10_2_Malaria p10_2_Malignant Neoplasms
1 -0.4612662 0.1868652
p10_2_Mental Health p10_2_Other CD p10_2_Other NCD
1 -0.3510353 0.7654116 -0.1378778
p10_2_Other Unintentional Injuries p10_2_Respiratory
1 -0.3397459 -0.3340863
p10_2_Respiratory Infection p10_2_Road Injuries
1 -0.1998535 -0.2192479
p11_1_Cardiac p11_1_Diabetes p11_1_Diarrhea
1 1.8373581 0.5975501 0.06245274
p11_1_Digestive p11_1_HIV p11_1_Intentional Injuries
1 -0.2163202 11.4226181 0.601522322
p11_1_Malaria p11_1_Malignant Neoplasms
1 -0.6026900 0.9249459
p11_1_Mental Health p11_1_Other CD p11_1_Other NCD
1 -0.04331136 4.1991656 0.54235809
p11_1_Other Unintentional Injuries p11_1_Respiratory
1 0.19668810 0.005328981
p11_1_Respiratory Infection p11_1_Road Injuries
1 0.54450476 0.50396733
p11_2_Cardiac p11_2_Diabetes p11_2_Diarrhea
1 0.5647317 0.08742175 -0.2647744
p11_2_Digestive p11_2_HIV p11_2_Intentional Injuries
1 -0.4750016 8.2872320 -0.2388775
p11_2_Malaria p11_2_Malignant Neoplasms
1 -0.6027022 0.4830341
p11_2_Mental Health p11_2_Other CD p11_2_Other NCD
1 -0.4626714 0.7940640 -0.1579393
p11_2_Other Unintentional Injuries p11_2_Respiratory
1 -0.4527659 -0.3649881
p11_2_Respiratory Infection p11_2_Road Injuries
1 -0.2512263 -0.3833177
p12_1_Cardiac p12_1_Diabetes p12_1_Diarrhea
1 3.215295 1.208825302 -0.00469681
p12_1_Digestive p12_1_HIV p12_1_Intentional Injuries
1 -0.2697722 7.7034948 0.2686933
p12_1_Malaria p12_1_Malignant Neoplasms
1 -0.7553875 1.8435868
p12_1_Mental Health p12_1_Other CD p12_1_Other NCD
1 -0.1617467 5.0341344 0.59406607
p12_1_Other Unintentional Injuries p12_1_Respiratory
1 0.007555415 0.3033265
p12_1_Respiratory Infection p12_1_Road Injuries
1 0.71673463 0.3393521
p12_2_Cardiac p12_2_Diabetes p12_2_Diarrhea
1 1.2287585 0.5645147 -0.30394709
p12_2_Digestive p12_2_HIV p12_2_Intentional Injuries
1 -0.5672501 5.7682316 -0.3423880
p12_2_Malaria p12_2_Malignant Neoplasms
1 -0.7554146 0.8862814
p12_2_Mental Health p12_2_Other CD p12_2_Other NCD
1 -0.5908729 0.7656353 -0.16180764
p12_2_Other Unintentional Injuries p12_2_Respiratory
1 -0.5842209 -0.3452017
p12_2_Respiratory Infection p12_2_Road Injuries
1 -0.2632480 -0.4940688
p13_1_Cardiac p13_1_Diabetes p13_1_Diarrhea
1 4.060790 1.7599489 0.0003461827
p13_1_Digestive p13_1_HIV p13_1_Intentional Injuries
1 -0.2983363 2.78582370 -0.1140929
p13_1_Malaria p13_1_Malignant Neoplasms
1 -0.8223072 2.4936164
p13_1_Mental Health p13_1_Other CD p13_1_Other NCD
1 -0.2942918 4.7847394 0.5881911
p13_1_Other Unintentional Injuries p13_1_Respiratory
1 -0.2290822 0.7086290
p13_1_Respiratory Infection p13_1_Road Injuries
1 0.71447824 -0.02661423
p13_2_Cardiac p13_2_Diabetes p13_2_Diarrhea
1 1.940966 1.04438180 -0.25959530
p13_2_Digestive p13_2_HIV p13_2_Intentional Injuries
1 -0.6011543 1.7446347 -0.4444172
p13_2_Malaria p13_2_Malignant Neoplasms
1 -0.8223483 1.1690738
p13_2_Mental Health p13_2_Other CD p13_2_Other NCD
1 -0.6536206 0.7685136 -0.16438170
p13_2_Other Unintentional Injuries p13_2_Respiratory
1 -0.6556862 -0.2023173
p13_2_Respiratory Infection p13_2_Road Injuries
1 -0.26969730 -0.5846476
p14_1_Cardiac p14_1_Diabetes p14_1_Diarrhea
1 5.170758 1.5161360 -0.13139393
p14_1_Digestive p14_1_HIV p14_1_Intentional Injuries
1 -0.3747249 0.7467439 -0.4352093
p14_1_Malaria p14_1_Malignant Neoplasms
1 -0.8008767 2.105554
p14_1_Mental Health p14_1_Other CD p14_1_Other NCD
1 -0.4455053 3.4488227 0.4273028
p14_1_Other Unintentional Injuries p14_1_Respiratory
1 -0.3824335 0.95274507
p14_1_Respiratory Infection p14_1_Road Injuries
1 1.1186682 -0.3135799
p14_2_Cardiac p14_2_Diabetes p14_2_Diarrhea
1 3.019291 0.97927085 -0.29173905
p14_2_Digestive p14_2_HIV p14_2_Intentional Injuries
1 -0.5874250 0.4055048 -0.5579830
p14_2_Malaria p14_2_Malignant Neoplasms
1 -0.8009064 0.8845328
p14_2_Mental Health p14_2_Other CD p14_2_Other NCD
1 -0.6501491 0.4930555 -0.23197363
p14_2_Other Unintentional Injuries p14_2_Respiratory
1 -0.6751142 -0.1470142
p14_2_Respiratory Infection p14_2_Road Injuries
1 -0.12468024 -0.6285541
p15_1_Cardiac p15_1_Diabetes p15_1_Diarrhea
1 4.968020 1.3263736 -0.12667650
p15_1_Digestive p15_1_HIV p15_1_Intentional Injuries
1 -0.3851577 -0.02846079 -0.5445457
p15_1_Malaria p15_1_Malignant Neoplasms
1 -0.7707908 1.886741
p15_1_Mental Health p15_1_Other CD p15_1_Other NCD
1 -0.4765386 2.8894797 0.27142080
p15_1_Other Unintentional Injuries p15_1_Respiratory
1 -0.4648672 1.28059279
p15_1_Respiratory Infection p15_1_Road Injuries
1 0.7588713 -0.4517654
p15_2_Cardiac p15_2_Diabetes p15_2_Diarrhea
1 3.426310 1.06299087 -0.24974536
p15_2_Digestive p15_2_HIV p15_2_Intentional Injuries
1 -0.5418490 -0.1797866 -0.5520199
p15_2_Malaria p15_2_Malignant Neoplasms
1 -0.7708201 0.7445506
p15_2_Mental Health p15_2_Other CD p15_2_Other NCD
1 -0.5913627 0.5073990 -0.251146981
p15_2_Other Unintentional Injuries p15_2_Respiratory
1 -0.6581882 0.04118924
p15_2_Respiratory Infection p15_2_Road Injuries
1 -0.14583847 -0.6288579
p16_1_Cardiac p16_1_Diabetes p16_1_Diarrhea
1 4.528292 1.1078319 -0.03470408
p16_1_Digestive p16_1_HIV p16_1_Intentional Injuries
1 -0.3634319 -0.3333139 -0.5957717
p16_1_Malaria p16_1_Malignant Neoplasms
1 -0.7488221 1.5232905
p16_1_Mental Health p16_1_Other CD p16_1_Other NCD
1 -0.4242621 1.7494135 0.148381071
p16_1_Other Unintentional Injuries p16_1_Respiratory
1 -0.5158941 1.95920734
p16_1_Respiratory Infection p16_1_Road Injuries
1 0.5817947 -0.5195635
p16_2_Cardiac p16_2_Diabetes p16_2_Diarrhea
1 3.714518 0.94808694 -0.14485389
p16_2_Digestive p16_2_HIV p16_2_Intentional Injuries
1 -0.4885658 -0.4634864 -0.5756338
p16_2_Malaria p16_2_Malignant Neoplasms
1 -0.7488324 0.50315283
p16_2_Mental Health p16_2_Other CD p16_2_Other NCD
1 -0.4738195 0.10433485 -0.27923505
p16_2_Other Unintentional Injuries p16_2_Respiratory
1 -0.6484481 0.29036153
p16_2_Respiratory Infection p16_2_Road Injuries
1 -0.18738221 -0.6301555
p17_1_Cardiac p17_1_Diabetes p17_1_Diarrhea
1 4.331031 0.89366062 -0.03618968
p17_1_Digestive p17_1_HIV p17_1_Intentional Injuries
1 -0.3792194 -0.4983792 -0.6175758
p17_1_Malaria p17_1_Malignant Neoplasms
1 -0.7259872 1.2859169
p17_1_Mental Health p17_1_Other CD p17_1_Other NCD
1 -0.3259012 1.0864134 0.093358289
p17_1_Other Unintentional Injuries p17_1_Respiratory
1 -0.4989556 1.74739224
p17_1_Respiratory Infection p17_1_Road Injuries
1 0.5399233 -0.5608743
p17_2_Cardiac p17_2_Diabetes p17_2_Diarrhea
1 4.062546 0.75015271 -0.1223339
p17_2_Digestive p17_2_HIV p17_2_Intentional Injuries
1 -0.4672233 -0.5880059 -0.5927311
p17_2_Malaria p17_2_Malignant Neoplasms
1 -0.7260098 0.29314649
p17_2_Mental Health p17_2_Other CD p17_2_Other NCD
1 -0.3166561 -0.03549907 -0.26986049
p17_2_Other Unintentional Injuries p17_2_Respiratory
1 -0.6225137 0.1229542
p17_2_Respiratory Infection p17_2_Road Injuries
1 -0.13503178 -0.6495404
p18_1_Cardiac p18_1_Diabetes p18_1_Diarrhea
1 4.583265 0.6990013 0.130847379
p18_1_Digestive p18_1_HIV p18_1_Intentional Injuries
1 -0.3507224 -0.6439329 -0.6480242
p18_1_Malaria p18_1_Malignant Neoplasms
1 -0.7214269 1.2223416
p18_1_Mental Health p18_1_Other CD p18_1_Other NCD
1 -0.12162099 0.8148221 0.13587177
p18_1_Other Unintentional Injuries p18_1_Respiratory
1 -0.4671017 1.62392865
p18_1_Respiratory Infection p18_1_Road Injuries
1 0.73301295 -0.5709009
p18_2_Cardiac p18_2_Diabetes p18_2_Diarrhea
1 4.793399 0.6063621 0.06543055
p18_2_Digestive p18_2_HIV p18_2_Intentional Injuries
1 -0.4127068 -0.6880947 -0.6176893
p18_2_Malaria p18_2_Malignant Neoplasms
1 -0.7214489 0.22861582
p18_2_Mental Health p18_2_Other CD p18_2_Other NCD
1 -0.08085988 -0.092168177 -0.20369015
p18_2_Other Unintentional Injuries p18_2_Respiratory
1 -0.5960574 0.1322611
p18_2_Respiratory Infection p18_2_Road Injuries
1 0.08381694 -0.6539163
p19_1_Cardiac p19_1_Diabetes p19_1_Diarrhea
1 1.977951 -0.1493091 -0.1865219
p19_1_Digestive p19_1_HIV p19_1_Intentional Injuries
1 -0.5266679 -0.6896633 -0.6822968
p19_1_Malaria p19_1_Malignant Neoplasms
1 -0.7162228 0.1137170
p19_1_Mental Health p19_1_Other CD p19_1_Other NCD
1 -0.2110033 -0.1043256 -0.27991454
p19_1_Other Unintentional Injuries p19_1_Respiratory
1 -0.5712218 0.353299300
p19_1_Respiratory Infection p19_1_Road Injuries
1 0.07371623 -0.6544539
p19_2_Cardiac p19_2_Diabetes p19_2_Diarrhea
1 3.244984 -0.04238365 -0.04690266
p19_2_Digestive p19_2_HIV p19_2_Intentional Injuries
1 -0.5041387 -0.7024033 -0.6627229
p19_2_Malaria p19_2_Malignant Neoplasms
1 -0.7162368 -0.2318507
p19_2_Mental Health p19_2_Other CD p19_2_Other NCD
1 -0.05093171 -0.36944197 -0.35701337
p19_2_Other Unintentional Injuries p19_2_Respiratory
1 -0.6220278 -0.1616366
p19_2_Respiratory Infection p19_2_Road Injuries
1 -0.07976186 -0.6761769
p2_1_Cardiac p2_1_Diabetes p2_1_Diarrhea p2_1_Digestive
1 -0.4025973 -0.4448516 1.1956508 -0.3897557
p2_1_HIV p2_1_Intentional Injuries p2_1_Malaria
1 -0.24371760 -0.4025089 -0.4495051
p2_1_Malignant Neoplasms p2_1_Mental Health
1 -0.4028529 -0.4099503
p2_1_Other CD p2_1_Other NCD
1 0.5754621 -0.2495416
p2_1_Other Unintentional Injuries p2_1_Respiratory
1 -0.09198377 -0.3970335
p2_1_Respiratory Infection p2_1_Road Injuries
1 0.1593323 -0.2485730
p2_2_Cardiac p2_2_Diabetes p2_2_Diarrhea p2_2_Digestive
1 -0.4163720 -0.4465924 0.9896485 -0.4026458
p2_2_HIV p2_2_Intentional Injuries p2_2_Malaria
1 -0.24815979 -0.4179430 -0.4494917
p2_2_Malignant Neoplasms p2_2_Mental Health
1 -0.4156947 -0.4271491
p2_2_Other CD p2_2_Other NCD
1 0.3084066 -0.2987700
p2_2_Other Unintentional Injuries p2_2_Respiratory
1 -0.24082398 -0.4178414
p2_2_Respiratory Infection p2_2_Road Injuries
1 0.03255849 -0.3608324
p3_1_Cardiac p3_1_Diabetes p3_1_Diarrhea p3_1_Digestive
1 -0.4869353 -0.6508670 1.2785070 -0.5299167
p3_1_HIV p3_1_Intentional Injuries p3_1_Malaria
1 4.0732737 -0.3956091 -0.6707082
p3_1_Malignant Neoplasms p3_1_Mental Health
1 -0.3350685 -0.4606792
p3_1_Other CD p3_1_Other NCD
1 1.3003794 -0.24217268
p3_1_Other Unintentional Injuries p3_1_Respiratory
1 1.0839453 -0.5013591
p3_1_Respiratory Infection p3_1_Road Injuries
1 0.2157026 1.2060335
p3_2_Cardiac p3_2_Diabetes p3_2_Diarrhea p3_2_Digestive
1 -0.5390176 -0.6542636 0.9398891 -0.5817879
p3_2_HIV p3_2_Intentional Injuries p3_2_Malaria
1 4.0365825 -0.5045087 -0.6708925
p3_2_Malignant Neoplasms p3_2_Mental Health
1 -0.4278461 -0.5614961
p3_2_Other CD p3_2_Other NCD
1 0.8174140 -0.35382027
p3_2_Other Unintentional Injuries p3_2_Respiratory
1 0.12059411 -0.5686276
p3_2_Respiratory Infection p3_2_Road Injuries
1 0.1039189 0.19610058
p4_1_Cardiac p4_1_Diabetes p4_1_Diarrhea p4_1_Digestive
1 -0.3973141 -0.6331872 0.5510124 -0.4979709
p4_1_HIV p4_1_Intentional Injuries p4_1_Malaria
1 7.4733883 0.007549789 -0.67940270
p4_1_Malignant Neoplasms p4_1_Mental Health
1 -0.254738466 -0.3771662
p4_1_Other CD p4_1_Other NCD
1 1.0943105 -0.18854940
p4_1_Other Unintentional Injuries p4_1_Respiratory
1 1.2464959 -0.4547937
p4_1_Respiratory Infection p4_1_Road Injuries
1 0.05871257 1.17961569
p4_2_Cardiac p4_2_Diabetes p4_2_Diarrhea p4_2_Digestive
1 -0.4272574 -0.6074202 0.352288956 -0.5657364
p4_2_HIV p4_2_Intentional Injuries p4_2_Malaria
1 7.4092691 -0.3921631 -0.67954138
p4_2_Malignant Neoplasms p4_2_Mental Health
1 -0.3459251 -0.4850240
p4_2_Other CD p4_2_Other NCD
1 0.7264904 -0.25844830
p4_2_Other Unintentional Injuries p4_2_Respiratory
1 0.01447761 -0.5452837
p4_2_Respiratory Infection p4_2_Road Injuries
1 -0.029651931 0.114522716
p5_1_Cardiac p5_1_Diabetes p5_1_Diarrhea p5_1_Digestive
1 -0.09250282 -0.5541471 -0.011366725 -0.4458986
p5_1_HIV p5_1_Intentional Injuries p5_1_Malaria
1 7.5671430 3.54005230 -0.6474656
p5_1_Malignant Neoplasms p5_1_Mental Health
1 -0.29542274 -0.1006555
p5_1_Other CD p5_1_Other NCD
1 1.9365685 -0.18232635
p5_1_Other Unintentional Injuries p5_1_Respiratory
1 0.7122623 -0.3822090
p5_1_Respiratory Infection p5_1_Road Injuries
1 0.08664933 2.2313143
p5_2_Cardiac p5_2_Diabetes p5_2_Diarrhea p5_2_Digestive
1 -0.4136810 -0.5711228 0.03593042 -0.5804287
p5_2_HIV p5_2_Intentional Injuries p5_2_Malaria
1 8.4265444 0.1305476 -0.64768995
p5_2_Malignant Neoplasms p5_2_Mental Health
1 -0.4698196 -0.4497700
p5_2_Other CD p5_2_Other NCD
1 1.3651013 -0.3693093
p5_2_Other Unintentional Injuries p5_2_Respiratory
1 -0.2970469 -0.5386421
p5_2_Respiratory Infection p5_2_Road Injuries
1 -0.2265019 0.03884066
p6_1_Cardiac p6_1_Diabetes p6_1_Diarrhea p6_1_Digestive
1 -0.1729135 -0.5151959 0.06639172 -0.4336934
p6_1_HIV p6_1_Intentional Injuries p6_1_Malaria
1 6.6551021 4.5430416 -0.6111945
p6_1_Malignant Neoplasms p6_1_Mental Health
1 -0.37433596 -0.1529216
p6_1_Other CD p6_1_Other NCD
1 2.6313580 -0.22733897
p6_1_Other Unintentional Injuries p6_1_Respiratory
1 0.7563556 -0.4391802
p6_1_Respiratory Infection p6_1_Road Injuries
1 0.12865217 2.5849553
p6_2_Cardiac p6_2_Diabetes p6_2_Diarrhea p6_2_Digestive
1 -0.4178462 -0.5409717 0.16801518 -0.5346783
p6_2_HIV p6_2_Intentional Injuries p6_2_Malaria
1 11.8530267 0.07061761 -0.6113786
p6_2_Malignant Neoplasms p6_2_Mental Health
1 -0.3896286 -0.4299050
p6_2_Other CD p6_2_Other NCD
1 1.3873596 -0.3364180
p6_2_Other Unintentional Injuries p6_2_Respiratory
1 -0.2837941 -0.5114044
p6_2_Respiratory Infection p6_2_Road Injuries
1 -0.1935027 -0.08440369
p7_1_Cardiac p7_1_Diabetes p7_1_Diarrhea p7_1_Digestive
1 -0.12757685 -0.3269727 0.00358540 -0.2867504
p7_1_HIV p7_1_Intentional Injuries p7_1_Malaria
1 11.3856702 2.249635822 -0.4303215
p7_1_Malignant Neoplasms p7_1_Mental Health
1 -0.24943616 -0.1356396
p7_1_Other CD p7_1_Other NCD
1 1.7353168 -0.08911921
p7_1_Other Unintentional Injuries p7_1_Respiratory
1 0.31955367 -0.2839755
p7_1_Respiratory Infection p7_1_Road Injuries
1 0.09125435 1.26245951
p7_2_Cardiac p7_2_Diabetes p7_2_Diarrhea p7_2_Digestive
1 -0.2889543 -0.3723608 -0.03568739 -0.3702866
p7_2_HIV p7_2_Intentional Injuries p7_2_Malaria
1 15.0513810 -0.07935053 -0.4304370
p7_2_Malignant Neoplasms p7_2_Mental Health
1 -0.21193080 -0.3156101
p7_2_Other CD p7_2_Other NCD
1 0.9291683 -0.2047559
p7_2_Other Unintentional Injuries p7_2_Respiratory
1 -0.2507289 -0.3606529
p7_2_Respiratory Infection p7_2_Road Injuries
1 -0.1655677 -0.1460576
p8_1_Cardiac p8_1_Diabetes p8_1_Diarrhea p8_1_Digestive
1 -0.02771983 -0.2315148 0.03937105 -0.2076239
p8_1_HIV p8_1_Intentional Injuries p8_1_Malaria
1 13.2581564 1.39825834 -0.3741153
p8_1_Malignant Neoplasms p8_1_Mental Health
1 -0.13590614 -0.05185234
p8_1_Other CD p8_1_Other NCD
1 1.5043992 0.06803079
p8_1_Other Unintentional Injuries p8_1_Respiratory
1 0.25043753 -0.2331007
p8_1_Respiratory Infection p8_1_Road Injuries
1 0.12145422 0.63397523
p8_2_Cardiac p8_2_Diabetes p8_2_Diarrhea p8_2_Digestive
1 -0.2168165 -0.3018719 -0.08470317 -0.3154706
p8_2_HIV p8_2_Intentional Injuries p8_2_Malaria
1 14.5185616 -0.08886115 -0.3741701
p8_2_Malignant Neoplasms p8_2_Mental Health
1 -0.10055167 -0.2750282
p8_2_Other CD p8_2_Other NCD
1 0.7456575 -0.1559365
p8_2_Other Unintentional Injuries p8_2_Respiratory
1 -0.2430853 -0.3118072
p8_2_Respiratory Infection p8_2_Road Injuries
1 -0.1606123 -0.1886612
p9_1_Cardiac p9_1_Diabetes p9_1_Diarrhea p9_1_Digestive
1 0.2021650251 -0.1271019 0.0293719045 -0.1983114
p9_1_HIV p9_1_Intentional Injuries p9_1_Malaria
1 13.7787612 1.0350687 -0.3909644
p9_1_Malignant Neoplasms p9_1_Mental Health
1 -0.01960528 -0.02106827
p9_1_Other CD p9_1_Other NCD
1 1.9040619 0.184163277
p9_1_Other Unintentional Injuries p9_1_Respiratory
1 0.170049819 -0.1978894
p9_1_Respiratory Infection p9_1_Road Injuries
1 0.18439185 0.54174294
p9_2_Cardiac p9_2_Diabetes p9_2_Diarrhea p9_2_Digestive
1 -0.10040610 -0.2457473 -0.1373717 -0.3225139
p9_2_HIV p9_2_Intentional Injuries p9_2_Malaria
1 12.9833128 -0.09745977 -0.3910063
p9_2_Malignant Neoplasms p9_2_Mental Health
1 0.00771411 -0.2884575
p9_2_Other CD p9_2_Other NCD
1 0.8078554 -0.1480712
p9_2_Other Unintentional Injuries p9_2_Respiratory
1 -0.2714175 -0.3086244
p9_2_Respiratory Infection p9_2_Road Injuries
1 -0.1619444 -0.1821101
[ reached getOption("max.print") -- omitted 4 rows ]
Clustering vector:
[1] 3 2 2 5 4 4 4 3 4 4 2 4 2 4 2 3 2 2 2 2 2 2 4 4 2 1 2
[28] 3 2 5 4 2 3 3 5 5 4 2 2 3 2 3 4 2 5 3 4 1 2 2 3 2 5 5
Within cluster sum of squares by cluster:
[1] 303.2775 1617.0200 376.0029 2237.1498 787.7763
(between_SS / total_SS = 62.2 %)
Available components:
[1] "cluster" "centers" "totss"
[4] "withinss" "tot.withinss" "betweenss"
[7] "size" "iter" "ifault"
fviz_cluster(kmeans_mort,
data=df_mort_standard_afr %>% select(-c(1:5)),
stand = FALSE,
ellipse.type = "convex",
palette = "jco") +
pardee.theme
Registered S3 method overwritten by 'data.table':
method from
print.data.table

kmeans_mort$cluster <- factor(kmeans_mort$cluster)
centers_mort <- as.data.frame(kmeans_mort$centers) %>%
rownames_to_column(., var = 'cluster_number') %>%
gather(age_sex_cause, z_death_rate, 2:571) %>%
separate(age_sex_cause, into = c('age_cohort', 'sex', 'Cause'), sep = "_") %>%
spread(age_cohort, z_death_rate)
---
title: "R Notebook"
output: html_notebook
---


```{r setup, include=TRUE, message=FALSE}
library(tidyverse)
library(writexl)            #for writing objects to tabs in single Excel
library(openxlsx)
library(mosaic)
library(psych)
library(extrafont)
library(factoextra)
```

```{r}
nepad_group <- read_csv('.//data/nepad_groups.csv') %>% 
  mutate(afr_union_other = ifelse(afr_union == 'African Union', 'African Union', 'Other'))
```

```{r}
afdb_cols <- c('African Union' = "#d95f02", 'Other' = 'lightgray')
```


# Data exploration

```{r}
df_dalys <- readxl::read_xlsx('.//data/DALYs.xlsx') %>% 
  gather(year, val, 6:41) %>% 
  mutate(year = as.numeric(year))
```

```{r viz_dalys, include=TRUE, fig.height=6.2}
df_dalys %>% 
  filter(var != 'DALYsPC') %>% 
  ggplot(.) + 
  geom_line(aes(x=year,
                y=val,
                color=var,
                group=var), size=1.75) + 
  facet_wrap(~country) + 
  pardee.theme
```

```{r}
cds <- c('OthCommumDis', 'Diabetes', 'AIDS', 'Diarrhea', 'Malaria', 'RespInfec')
ncds <- c('MaligNeoPl', 'CardioVasc', 'Digestive', 'Respiratory', 'OtherNonComm', 'MentalHealth')
inj <- c('TrafficAcc', 'UnIntInj', 'IntInj')
```

```{r}
df_dalys <- df_dalys %>% 
  mutate(dis_cat = ifelse(dimension %in% cds, 'CDs',
                   ifelse(dimension %in% ncds, 'NCDs',
                   ifelse(dimension %in% inj, 'Injuries', 'Other'))))
```


```{r viz_dalys_2, include=TRUE, fig.height=6.2}
df_dalys %>% 
  filter(var == 'DALYsPC') %>% 
  mutate(spotlight_dim = ifelse(dimension == 'AIDS', 'spotlight', 'other')) %>% 
  ggplot(.) + 
  geom_line(aes(x=year,
                y=val,
                color=spotlight_dim,
                group=dimension), size=1.75) + 
  facet_grid(dis_cat~country) + 
  scale_color_manual(values = c('spotlight' = 'red',
                                'other' = 'gray60'),
                     labels = c('spotlight' = 'AIDS',
                                'other' = 'Other')) + 
  pardee.theme
  
```


# Relative risk of premature death: CDs and NCDs


```{r}
prob_mort_cat <- readxl::read_xlsx('.//data/prob_mort_cat.xlsx') %>% 
  gather(year, death_prob, 5:90) %>% 
  mutate(year = as.numeric(year)) %>% 
  #these countries/territories do not have data
  filter(country != 'Hong Kong' & country != 'Kosovo') %>% 
  left_join(x=.,
            y=nepad_group,
            by=c('country' = 'Country_2')) %>% 
  #from IFs, the scale is chances (probability) per thousand of death, 
  #so converting it to a more understandable probability scale (0-1)
  mutate(death_prob = death_prob / 1000) %>% 
  spread(death_cat, death_prob)
```

```{r fig.height=9, fig.width=12}
prob_mort_cat %>% 
  filter(year == 2015 | year == 2030) %>% 
  ggplot(.,
         aes(x=TotComDis,
             y=TotNonComDis)) + 
  geom_point(aes(color=afr_union_other), size=2) + 
  geom_abline(slope = 1, intercept = 0, linetype = 'dashed') + 
  ggtitle('Probability of dying prematurely: communicable vs. non-communicable causes',
          subtitle = 'IFs Base Case v7.38') + 
  #ggrepel::geom_text_repel(data=. %>% filter(TotComDis > TotNonComDis),
   #                        aes(label = country)) + 
  facet_grid(year ~ dim) + 
  labs(x='CDs: Probability of premature death',
       y='NCDs: Probability of premature death') + 
  scale_color_manual(values = afdb_cols) + 
  pardee.theme
```

```{r fig.height=6.2, fig.width=12}
prob_mort_cat %>% 
  gather(death_cat, death_prob, 9:10) %>% 
  filter(year == 2030 | year == 2015,
         death_cat == 'TotNonComDis') %>% 
  spread(dim, death_prob) %>% 
  ggplot(.,
         aes(x=Female,
             y=Male)) + 
  ggtitle('Probability of dying from NCDs by gender, 2015 and 2030',
          subtitle = 'IFs Base Case v7.38') + 
  geom_point(aes(color=afr_union_other), size=2) + 
  geom_abline(slope = 1, intercept = 0, linetype = 'dashed') + 
  #ggrepel::geom_text_repel(data=. %>% filter(Female > Male),
   #                        aes(label = country)) + 
  facet_wrap(~year) + 
  labs(x='Female: probability of premature death from CDs',
       y='Male: probability of premature death from CDs') + 
  scale_color_manual(values = afdb_cols) + 
  pardee.theme
```


# Clustering 

```{r}
df_mort <- readxl::read_xlsx(path = './/data/mortality_by_type.xlsx') %>% 
  left_join(x=.,
            y=nepad_group,
            by='Country')

```

```{r}
(df_mort_standard <- df_mort %>% 
  gather(age_cohort, death_rate, 5:23))
```

```{r}
(df_mort_standard_afr <- df_mort_standard %>% 
  filter(afr_union == 'African Union'))
```

```{r}
df_mort_standard_afr
  group_by(Country, sex, Cause, age_cohort) %>% 
  mutate(death_rate = scale(death_rate))
```


```{r}
df_mort_standard_afr$z <- ave(df_mort_standard_afr$death_rate, df_mort_standard_afr$age_cohort, FUN=scale)
```


```{r}
df_mort_standard_afr %>% 
  mutate(age_sex_cause = paste(age_cohort, sex, Cause, sep = "_")) %>% 
  select(-c(death_rate, age_cohort, sex, Cause, CauseID)) %>% 
  spread(age_sex_cause, z)
```


```{r}
(df_mort_standard_afr <- df_mort_standard_afr %>% 
  mutate(age_sex_cause = paste(age_cohort, sex, Cause, sep = "_")) %>% 
  select(-c(death_rate, age_cohort, sex, Cause, CauseID)) %>% 
  spread(age_sex_cause, z))
```

```{r}
df_mort_standard_afr %>% select(-c(1:5))
```


```{r}
#library(NbClust)
#(nbclust_eval <- NbClust(df_mort_standard_afr %>% select(-c(1:5)), 
                            #diss = diss_matrix,
                            #distance = NULL, 
                            #min.nc = 3,
                            #max.nc = 10, 
                            #method = "kmeans",
                            #index = "all"))
```


```{r}
kmeans_mort <- kmeans(df_mort_standard_afr %>% select(-c(1:5)), 5)

kmeans_mort
```

```{r}
data.frame(kmeans_mort$centers)
```


```{r}
(df_cluster_5_results <- kmeans_mort %>% 
  broom::augment(df_mort_standard_afr) %>% 
  ungroup() %>% 
  select(.cluster, everything()) %>% 
  mutate(.cluster = as.character(.cluster)))

#cbind(df_mort_standard_afr, kmeans_mort$cluster) %>% 
  #gather(age_sex_cause, z_death_rate, 4:573) %>% 
  #rename(cluster_number = 'kmeans_mort$cluster') %>% 
  #arrange(cluster_number)
```

```{r}
df_cluster_5_results %>% 
  filter(.cluster == '4')
```


```{r fig.height=6.2}
fviz_cluster(kmeans_mort, 
             data=df_mort_standard_afr %>% select(-c(1:5)),
             stand = FALSE, 
             ellipse.type = "convex",
             palette = "jco") + 
  pardee.theme
```


```{r}
kmeans_mort$cluster <- factor(kmeans_mort$cluster)

centers_mort <- as.data.frame(kmeans_mort$centers) %>% 
  rownames_to_column(., var = 'cluster_number') %>% 
  gather(age_sex_cause, z_death_rate, 2:571) %>% 
  separate(age_sex_cause, into = c('age_cohort', 'sex', 'Cause'), sep = "_") %>% 
  spread(age_cohort, z_death_rate)
```


```{r}
centers_mort %>% 
  arrange(cluster_number) %>% 
  select(1:3, 'p1', 'p2', 'p3', 'p4', 'p5') %>% 
  filter(Cause == 'Cardiac')
```

```{r}
df_mort %>% 
  arrange(-p1)
```